Farid Melgani

4.8k total citations · 1 hit paper
15 papers, 3.9k citations indexed

About

Farid Melgani is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Farid Melgani has authored 15 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Atmospheric Science. Recurrent topics in Farid Melgani's work include Remote-Sensing Image Classification (11 papers), Advanced Image Fusion Techniques (6 papers) and Remote Sensing and Land Use (4 papers). Farid Melgani is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Advanced Image Fusion Techniques (6 papers) and Remote Sensing and Land Use (4 papers). Farid Melgani collaborates with scholars based in Italy, France and Saudi Arabia. Farid Melgani's co-authors include Lorenzo Bruzzone, Sebastiano B. Serpico, Enrico Blanzieri, Luca Pasolli, Grégoire Mercier, Mariette De Vos, Edoardo Pasolli, Massimo Donelli, G. Vernazza and Naif Alajlan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition Letters and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Farid Melgani

14 papers receiving 3.8k citations

Hit Papers

Classification of hyperspectral remote sensing images wit... 2004 2026 2011 2018 2004 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Classification of hyperspectral remote sensing images with support vector machines
    2004 3.4k citations Farid Melgani, Lorenzo Bruzzone IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Farid Melgani Italy 10 3.0k 2.0k 917 872 424 15 3.9k
James C. Tilton United States 23 3.0k 1.0× 2.0k 1.0× 1.2k 1.3× 1.0k 1.2× 432 1.0× 94 4.4k
Mathieu Fauvel France 16 4.2k 1.4× 2.9k 1.5× 1.2k 1.3× 910 1.0× 485 1.1× 24 4.8k
J. Chanussot France 16 2.8k 0.9× 1.8k 0.9× 849 0.9× 548 0.6× 359 0.8× 30 3.2k
Yuliya Tarabalka France 23 3.9k 1.3× 2.4k 1.2× 1.5k 1.7× 975 1.1× 644 1.5× 55 5.3k
N. Keshava United States 6 2.5k 0.8× 1.3k 0.7× 449 0.5× 636 0.7× 454 1.1× 12 3.2k
Sebastiano B. Serpico Italy 38 3.6k 1.2× 1.9k 1.0× 1.3k 1.5× 1.2k 1.4× 933 2.2× 218 5.4k
Gabriele Moser Italy 35 2.9k 1.0× 1.5k 0.8× 1.2k 1.3× 884 1.0× 701 1.7× 182 4.7k
Hongjun Su China 30 2.8k 0.9× 1.7k 0.9× 1.2k 1.3× 360 0.4× 584 1.4× 145 3.9k
Saurabh Prasad United States 33 3.9k 1.3× 2.0k 1.0× 1.6k 1.7× 686 0.8× 763 1.8× 139 5.3k
Juan M. Haut Spain 32 3.9k 1.3× 2.1k 1.1× 1.7k 1.9× 584 0.7× 611 1.4× 100 5.0k

Countries citing papers authored by Farid Melgani

Since Specialization
Citations

This map shows the geographic impact of Farid Melgani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Farid Melgani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farid Melgani more than expected).

Fields of papers citing papers by Farid Melgani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farid Melgani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Farid Melgani. The network helps show where Farid Melgani may publish in the future.

Co-authorship network of co-authors of Farid Melgani

This figure shows the co-authorship network connecting the top 25 collaborators of Farid Melgani. A scholar is included among the top collaborators of Farid Melgani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farid Melgani. Farid Melgani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Al-Mulla, Yaseen, et al.. (2025). AI Driven Impact Assessment of Shaheen Tropical Cyclone Using Very High-Resolution Satellite Data. Earth Systems and Environment.
2.
Melgani, Farid, et al.. (2013). Missing-Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective. IEEE Transactions on Geoscience and Remote Sensing. 51(7). 3998–4008. 73 indexed citations
3.
Alajlan, Naif, et al.. (2013). Using OWA Fusion Operators for the Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 602–614. 13 indexed citations
4.
Pasolli, Luca, Farid Melgani, & Enrico Blanzieri. (2010). Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters. 7(3). 464–468. 112 indexed citations
5.
Pasolli, Luca, Enrico Blanzieri, & Farid Melgani. (2008). Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. Institutional Research Information System (Università degli Studi di Trento). II–851. 14 indexed citations
6.
Pasolli, Edoardo, et al.. (2008). Automatic Detection and Classification of Buried Objects in GPR Images Using Genetic Algorithms and Support Vector Machines. Institutional Research Information System (Università degli Studi di Trento). II–525. 38 indexed citations
7.
Melgani, Farid & Lorenzo Bruzzone. (2004). Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing. 42(8). 1778–1790. 3441 indexed citations breakdown →
8.
Melgani, Farid. (2004). CLASSIFICATION OF MULTITEMPORAL REMOTE-SENSING IMAGES BY A FUZZY FUSION OF SPECTRAL AND SPATIO-TEMPORAL CONTEXTUAL INFORMATION. International Journal of Pattern Recognition and Artificial Intelligence. 18(2). 143–156. 13 indexed citations
9.
Melgani, Farid, Sebastiano B. Serpico, & G. Vernazza. (2003). Fusion of multitemporal contextual information by neural networks for multisensor remote sensing image classification. Integrated Computer-Aided Engineering. 10(1). 81–90. 9 indexed citations
10.
Moser, Gabriele, Farid Melgani, Sebastiano B. Serpico, & Antonio Caruso. (2003). Partially supervised detection of changes from remote sensing images. 1. 299–301. 9 indexed citations
11.
Melgani, Farid & Sebastiano B. Serpico. (2003). A markov random field approach to spatio-temporal contextual image classification. IEEE Transactions on Geoscience and Remote Sensing. 41(11). 2478–2487. 124 indexed citations
12.
Serpico, Sebastiano B. & Farid Melgani. (2002). A fuzzy spatio-temporal contextual classifier for remote sensing images. 6. 2438–2440. 5 indexed citations
13.
Melgani, Farid & Sebastiano B. Serpico. (2002). A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images. Pattern Recognition Letters. 23(9). 1053–1061. 51 indexed citations
14.
Melgani, Farid, Sebastiano B. Serpico, & G. Vernazza. (2002). Fusion of multitemporal contextual information by neural networks for multisensor image classification. 7. 2952–2954. 9 indexed citations
15.
Melgani, Farid & Sebastiano B. Serpico. (2002). A mutual approach based on Markov random fields for multitemporal contextual classification of remote sensing images. 7. 2949–2951. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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